{"id":"W2316865332","doi":"10.1021/ie202936t","title":"Kinetic Modeling and Isotopic Investigation of Isobutanol Fermentation by Two Engineered Escherichia coli Strains","year":2012,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Petroleum Technology Alliance Canada; National Science Foundation","keywords":"Isobutanol; Fermentation; Yield (engineering); Escherichia coli; Biomass (ecology); Strain (injury); Chemistry; Yeast; Biochemistry; Food science; Biology; Alcohol; Materials science; Agronomy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002308289,0.0008492683,0.000646066,0.0003264713,0.0002309007,0.0008306005,0.0007174354,0.0007042734,0.0003196415],"category_scores_gemma":[0.000299658,0.0002511063,0.0006467698,0.0003895938,0.0002417271,0.0004335248,0.0003344319,0.0005340872,0.0001685894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008771406,"about_ca_system_score_gemma":0.0006159786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009678714,"about_ca_topic_score_gemma":0.002524678,"domain_scores_codex":[0.9998627,0.00001998623,0.0000113587,0.00003825143,0.00003693952,0.00003078394],"domain_scores_gemma":[0.9999011,0.00002677133,0.00001872048,0.00001021979,0.00003297147,0.00001015456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002259701,0.000415047,0.006126155,0.0001902812,0.00004128657,0.0003709455,0.00007917603,0.7309777,0.2493824,0.006465242,0.0001527804,0.005573025],"study_design_scores_gemma":[0.00001280338,0.00008015052,0.000503773,0.000003277646,0.00001161395,0.00001965196,0.00002151441,0.9711693,0.02747733,0.0002604323,0.0004256298,0.00001448332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308279,0.0004645505,0.06432986,0.000207598,0.0000325094,0.00006284939,0.000465979,0.0001323013,0.00347648],"genre_scores_gemma":[0.9783838,0.0005794203,0.01907989,0.0000264037,0.000004817486,0.00007279374,0.0002816312,0.0000274275,0.001543752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009678714,"threshold_uncertainty_score":0.01924479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05207861580489739,"score_gpt":0.3019012926489356,"score_spread":0.2498226768440382,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}